The train operation process is characterized by strong coupling and nonlinearity, often
accompanied by significant and unobservable external disturbances, which makes train …

In order to meet the operational requirements of the high-speed train in terms of safety,
accuracy and smoothness, an adaptive backstepping sliding mode control approach based …

To realize the function of the automatic control used in high speed trains, a nonlinear brake
model is built that reflects the train longitudinal dynamics and the operational principles of …

In this paper, an equivalent multi‐body dynamics model of high‐speed train with uncertain
parameter is established. Based on this detailed model and neural network minimum …

In this paper, two different control approaches are developed to control a high-speed train
(HST) with particular emphasis on velocity and position tracking, which is essential for …

Aiming at the problem of accurate tracking control of high-speed train autopilot system under
complex operation environment, a neural network sliding mode equivalent controller is …

With the rapid development of society, in today's fast-paced life, the continuous progress of
rail trains, the increasing number of trains, the increase in operating speed, and the …

This paper proposes a non-singular fast terminal sliding mode control strategy based on the
self-organizing radial basis function neural network (RBFNN) approximation for the train key …

Based on the characteristics of freight train control, which are nonlinear, time-delay, with
multi-constraint and multiobjective, this paper focuses on speed tracking problem. Firstly, in …

With the fast development of 5G communications, big data and intelligent control
technologies, automatic train operation (ATO) is expected to supersede traditional manual …